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Layer: Escenario de Riesgo (3020000)

Sub Layers:
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• Lluvias asociadas al FEN - Nacional
• Deficiencia hídrica asociada al fenómeno El Niño
• Incendios forestales
• Temporada de lluvias
• Temporada de bajas temperaturas
• Sequía
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Layer: Lluvias asociadas al FEN - Cuencas (3020029)

Parent Layer: Escenario de Riesgo

Sub Layers:
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• Peligro a movimientos en masa
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Layer: Peligro a inundacion (3020027)

Parent Layer: Lluvias asociadas al FEN - Cuencas

Name: Peligro a inundacion

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Description: Los estudios realizados tienen por objetivo la identificación de las zonas más propensas a la ocurrencia de inundaciones, en los ámbitos de 36 cuencas y 25 intercuencas de la costa del Pacífico, ante la posible presencia de lluvias intensas desencadenadas por el Fenómeno El Niño Costero 2023-2024. En este estudio para encontrar el peligro se propone el método de “Frequency Ratio” (FR) asistido con el análisis espacial utilizando softwares de sistemas de información geográfica (SIG), para el modelamiento de variables territoriales.

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Layer: Peligro a movimientos en masa (3020802)

Parent Layer: Lluvias asociadas al FEN - Cuencas

Name: Peligro a movimientos en masa

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Description: Los estudios realizados tienen por objetivo la identificación de las zonas más propensas a la ocurrencia de movimientos en masa, en los ámbitos de 36 cuencas y 25 intercuencas de la costa del Pacífico, ante la posible presencia de lluvias intensas desencadenadas por el Fenómeno El Niño Costero 2023-2024. El mapa de peligro por movimientos en masa tomo como base los estudios de susceptibilidad a movimientos en masa regional que elaboró el INGEMMET, los cuales fueron generados a partir de variables territoriales.

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Layer: Lluvias asociadas al FEN - Nacional (3020600)

Parent Layer: Escenario de Riesgo

Sub Layers:
• Susceptibilidad a movimientos en masa
• Susceptibilidad por inundaciones
Name: Lluvias asociadas al FEN - Nacional

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Layer: Susceptibilidad a movimientos en masa (3020601)

Parent Layer: Lluvias asociadas al FEN - Nacional

Name: Susceptibilidad a movimientos en masa

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Description: El resultado con probabilidad de riesgo muy alto muestra un total de 16 104 centros poblados distribuidos a nivel nacional, los cuales comprenden 1 232 202 personas, 354 042 viviendas, 2 262 469 hectáreas de superficie agrícola, así como 1 156 establecimientos de salud, 8 100 instituciones educativas, 33906 Km de infraestructura vial y 423 puentes. Entre los departamentos con mayor población se encuentran Piura, Áncash, Huánuco, Cajamarca y La Libertad (104 564 personas). En este mismo escenario, se identificó 14 977 centros poblados con un nivel de riesgo alto, los mismos que comprenden un total de 1 694 234 personas, 492 189 viviendas, 1 938 976 hectáreas de superficie agrícola, 34 405 Km de infraestructura vial, 486 puentes, 1 494 establecimientos de salud y 8 548 instituciones educativas. Lima es el departamento que presenta la mayor cantidad de población expuesta a este nivel de riesgo, con un total de 319 141 personas. <BR> Fuente: Escenario de riesgo por inundaciones y movimientos en masa ante lluvias asociadas al fenómeno El Niño (Actualizado al 15 de mayo 2023)

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Layer: Susceptibilidad por inundaciones (3020602)

Parent Layer: Lluvias asociadas al FEN - Nacional

Name: Susceptibilidad por inundaciones

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Description: El presente escenario de riesgo por inundación ante lluvias asociadas a eventos El Niño identificó un total de 1 469 centros poblados distribuidos en el ámbito nacional que estarían expuestos a un riesgo muy alto. Estos centros poblados comprenden un total de 826 140 personas, 208 803 viviendas, 365 753 hectáreas de superficies agrícolas, 409 establecimientos de salud y 1 884 instituciones educativas, 3 008 Km de infraestructura vial y 208 puentes, distribuidos en el ámbito nacional. Los departamentos con mayor población expuesta a este nivel de riesgo es Piura y Ucayali. Respecto al riesgo alto por inundaciones, a nivel nacional se estima a nivel nacional un total de 5 533 centros poblados expuestos, que comprenden un total de 4 852 210 personas, 1 193 888 viviendas, 1 063 666 hectáreas de superficie agrícola, 2 032 establecimientos de salud, 8 155 instituciones educativas, 12 609 Km de infraestructura vial y 466 puentes. Los departamentos con mayor población expuesta a riesgo alto son Piura, La Libertad, Lambayeque e Ica. <BR> Fuente: Escenario de riesgo por inundaciones y movimientos en masa ante lluvias asociadas al fenómeno El Niño (Actualizado al 15 de mayo 2023)

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Layer: Deficiencia hídrica asociada al fenómeno El Niño (3020700)

Parent Layer: Escenario de Riesgo

Sub Layers:
• Déficit hídrico ante posible fenómeno El Niño
Name: Deficiencia hídrica asociada al fenómeno El Niño

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Layer: Déficit hídrico ante posible fenómeno El Niño (3020701)

Parent Layer: Deficiencia hídrica asociada al fenómeno El Niño

Name: Déficit hídrico ante posible fenómeno El Niño

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Description: El presente informe tiene como objetivo mostrar una aproximación al riesgo por déficit hídrico que podría presentarse en lo que resta del periodo lluvias 2023 - 2024. Sin embargo, es necesario tener en cuenta que cada evento El Niño puede evolucionar en forma distinta, por lo que no existe un patrón exacto que se pueda tomar como referencia. <BR> Fuente: Escenario de riesgo por déficit hídrico ante condiciones El Niño para el periodo de lluvias 2023-2024 (Actualización enero 2024)

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Layer: Incendios forestales (3020300)

Parent Layer: Escenario de Riesgo

Name: Incendios forestales

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Description: El presente escenario servirá como un referente para la formulación de planes y documentos de gestión orientados a la prevención y reducción del riesgo de desastres, así como para la respuesta ante los probables daños y/o pérdidas originadas por los incendios forestales en el país. Su desarrollo contó con la colaboración del SERFOR, MINAM y SERNANP.<BR> <BR> Fuente: Escenario de riesgo por Incendios Forestales, CENEPRED - 2020

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Layer: Temporada de lluvias (3020100)

Parent Layer: Escenario de Riesgo

Sub Layers:
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• Aviso meteorológico del 12 al 13 de octubre 2024 Selva
• Aviso meteorológico del 12 al 13 de octubre 2024 Sierra
Name: Temporada de lluvias

Display Field:

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Description: Fuente: Escenario de riesgo ante la Temporada de Lluvias - CENEPRED

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Description: Fuente: Escenarios de riesgo por sequías meteorológicas a nivel nacional - CENEPRED

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Description: El presente escenario se ha elaborado con base en una propuesta metodológica orientada a la determinación de los niveles de riesgo por sequías meteorológicas, tomando como unidad de análisis el ámbito distrital, cuyo resultado brinda una primera aproximación del riesgo por sequía meteorológica y tiene como objetivo general desarrollar los escenarios de riesgo por sequías meteorológicas a nivel nacional.

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Layer: Escenario de riesgo por sequías meteorológicas moderadas (3020503)

Parent Layer: Sequía

Name: Escenario de riesgo por sequías meteorológicas moderadas

Display Field:

Type: Raster Layer

Geometry Type: null

Description: El presente escenario se ha elaborado con base en una propuesta metodológica orientada a la determinación de los niveles de riesgo por sequías meteorológicas, tomando como unidad de análisis el ámbito distrital, cuyo resultado brinda una primera aproximación del riesgo por sequía meteorológica y tiene como objetivo general desarrollar los escenarios de riesgo por sequías meteorológicas a nivel nacional.

Definition Expression: N/A

Copyright Text:

Default Visibility: false

MaxRecordCount: 0

Supported Query Formats: JSON, AMF, geoJSON

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: false

Supports Statistics: false

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Extent:
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YMin: -17.98799023476073
XMax: -68.65280073961178
YMax: -0.0379902347607306
Spatial Reference: 4326  (4326)



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Supports OrderBy: false
Supports Distinct: false
Supports Pagination: false
Supports TrueCurve: false
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: false
Supports Query With ResultType: false


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

Fields: None